| Fast nearest neighbor search through sparse random projections and voting V Hyvönen, T Pitkänen, S Tasoulis, E Jääsaari, R Tuomainen, L Wang, ... 2016 IEEE International Conference on Big Data (Big Data), 881-888, 2016 | 58* | 2016 |
| Quotient normalized maximum likelihood criterion for learning bayesian network structures T Silander, J Leppä-Aho, E Jääsaari, T Roos International Conference on Artificial Intelligence and Statistics, 948-957, 2018 | 36 | 2018 |
| Efficient autotuning of hyperparameters in approximate nearest neighbor search E Jääsaari, V Hyvönen, T Roos Pacific-Asia Conference on Knowledge Discovery and Data Mining, 590-602, 2019 | 8 | 2019 |
| SONAR: Joint Architecture and System Optimization Search E Jääsaari, M Ma, A Talwalkar, T Chen arXiv preprint arXiv:2208.12218, 2022 | 1 | 2022 |
| A Multilabel Classification Framework for Approximate Nearest Neighbor Search V Hyvönen, E Jääsaari, T Roos Advances in Neural Information Processing Systems 35, 2022 | | 2022 |
| Minimax optimal Bayes mixtures for memoryless sources over large alphabets E Jääsaari, J Leppä-Aho, T Silander, T Roos Algorithmic Learning Theory, 470-488, 2018 | | 2018 |
Teemu RoosProfessor at University of HelsinkiVerified email at helsinki.fi
